Full-Time
Senior Manager
BFSI, Field Engineering
Databricks
10,001+ employees
Data lakehouse platform for analytics
No salary listed
Mumbai, Maharashtra, India + 1 more
More locations: Bengaluru, Karnataka, India
In Person
 Engineering Management (1) |
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- At least 6 years of experience in pre-sales, consulting, or a customer-facing managerial role developing, managing, and building teams of Big Data, Cloud, or SaaS professionals.
- Experience working with strategic Banking, Financial Services, or Digital Enterprise accounts generating more than $1 million in annual recurring revenue.
- At least 6 years of experience in Big Data Architecture incorporating Data Engineering, Data Warehouse, Machine Learning, or Data Science components.
- Experience scaling and mentoring field and technical teams across in-person and remote working models.
- Knowledge of and passion for data-driven decisions, artificial intelligence, and cloud software models.
- Knowledge of Apache Spark and the Databricks ecosystem.
- Lead a team of Solutions Architects focused on large and strategic customers in India.
- Lead the expansion of the India team and build and lead a technical pre-sales team.
- Enhance the team's effectiveness and position and articulate business-value-focused solutions to customers and prospects.
- Coach new sales and pre-sales team members to collaborate across various stages of sales cycles.
- Build relationships with key stakeholders in large corporations.
- Hire and build the pre-sales team of Solutions Architects in the Data and Artificial Intelligence domain.
- Scale the designated Field Engineering segment organization rapidly while maintaining team calibre.
- Build a collaborative culture within a rapid-growth team and promote Databricks' customer-obsessed, teamwork, and diverse culture.
- Increase the return on investment of Solutions Architect involvement in sales cycles by two to three times over 18 months.
- Promote solution- and value-based selling within the field-engineering organization.
- Coach and mentor the Solutions Architect team to understand customers' business needs and identify revenue potential in their accounts.
- Interface with leadership and C-suite stakeholders at strategic customers in the assigned region to position Databricks' capabilities and comprehensive solutions strategy and build trust and credibility.
- Build Databricks' brand in India in partnership with the Marketing and Sales teams.
- Bring the field-engineering team's experience, priorities, and takeaways into the organization's planning and strategy roadmap.
Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$32.1B
Headquarters
San Francisco, California
Founded
2013
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Simplify's Take
What believers are saying
- Databricks announced $5 billion funding on August 13, 2026, at a $190 billion valuation.
- February 9, 2026 revenue run-rate hit $5.4 billion, growing over 65% year-over-year.
- Electric joined Databricks on August 11, 2026, strengthening Lakebase for AI agents.
What critics are saying
- Judge Breyer let authors' copyright class action proceed on April 29, 2026.
- Poulin Holdings sued Databricks in Texas on March 11, 2026, over patents.
- Snowflake and Alphabet compete directly; Databricks' $190 billion valuation demands flawless IPO execution.
What makes Databricks unique
- Databricks owns the lakehouse stack, from Spark analytics to Lakebase PostgreSQL.
- Unity Catalog and open formats anchor governance across clouds, data, and AI workloads.
- Electric and Neon deepen agentic database capabilities beyond Snowflake's core warehouse focus.
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Benefits
Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 1%2 year growth
↑ 0%Closes $5 billion strategic funding at a $190 billion valuation, led by Coatue, along with Blackstone, MGX, T.
The deal gives developers a way to keep AI agents working locally in sync with central data, cutting latency in sandboxed apps.
Electric is now part of Databricks. We're joining Neon to make Lakebase the best platform for building apps and agents. Everything we've open sourced stays open source.
Databricks has appointed former Amazon Web Services executive Briscoe to lead its Asia Pacific & Japan partner organisation. She previously headed AWS's partner operations in the region and held similar roles at Microsoft and Cisco. The move supports Databricks' regional expansion. In April, the company named Simon Davies as regional leader and reported over 85% year-on-year growth in its fourth quarter. It now has more than 1,500 employees across Asia Pacific & Japan and plans to establish headquarters in Singapore. Databricks works with over 1,000 partners regionally and 8,000 globally through its Brickbuilder Partner Network. The company's AWS business has surpassed a $1 billion run rate. International Data Corporation forecasts Asia/Pacific AI spending will reach $175 billion by 2028.
Coatue Management is reportedly leading a $3 billion investment in Databricks, according to recent reports. The data analytics company previously raised roughly $5 billion earlier in 2026 at a $134 billion valuation. Databricks sells a lakehouse platform combining data lake and data warehouse capabilities and has expanded into AI software for enterprise applications. The company reported $5.4 billion in revenue run rate in February, up over 65% year on year, which grew to $6.9 billion by June. The earlier financing round included $2 billion in debt capacity intended to fund AI products, acquisitions and employee liquidity. At its current valuation, Databricks exceeds Snowflake's market capitalisation of approximately $83 billion. Management has indicated the company may remain private until market conditions improve.